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Taking the next step

22 May 2026

From the outside, teaching careers often look deceptively linear. You qualify, you gain experience, and then you take your first promotional step before landing a Head of Year or Head of Department role. Then, if ambition and opportunity align, you step into senior leadership. In reality, most teachers discover very quickly that the path is anything but straight. Along the way, opportunities present themselves that sit awkwardly to the side of that ladder: paid projects, secondments, temporary leadership posts, governor roles, mentoring, outreach work, exam marking, subject associations, or county‑wide responsibilities. 

The question ambitious teachers quietly ask is, “Should I apply for roles that don’t clearly lead to senior leadership?” 

Early on, it’s tempting to measure every opportunity purely in terms of progression. Will this role make me more promotable? Will the head notice? Will it be a direct route to SLT? That mindset is understandable, especially when the workload is high, time is finite, and you are keen to move up the ladder. However, teaching careers are long, and if you try to take the direct route, there’s a risk of missing roles that make you better, happier, and more intellectually alive in the classroom. 

Paid roles that pay back differently 

Some paid roles sit in this grey space. Exam marking is a perfect example. Financially, it rarely justifies the hours. Working through holidays for what often feels like a modest reward. Yet, the professional value can be immense. Hearing the conversations examiners actually have about scripts, ambiguity, and standards fundamentally changes how you teach exam classes. One year of marking can sharpen your instincts more than a decade of reading the specification. It may not move your application closer to SLT, but it can transform outcomes for your students and your confidence, both of which are essential for your future prospects. 

Other paid opportunities, like freelance authorship or curriculum development, offer a different return. Writing resources for external organisations rarely help you manage people or lead whole‑school initiatives, but it stretches you intellectually, connects you with wider professional communities, and occasionally pay far better than internal school roles. Crucially, it reminds you that teaching expertise has value beyond your own building. That realisation alone can be career‑shifting. 

When schools invent a role around you 

Sometimes schools create bespoke roles tailored to individual strengths. These can be exhilarating and risky. Reducing contact time to innovate and lead specialist work can reignite enthusiasm and allow you to make a visible difference. Yet these roles can also stall progression if they remove you from the experiences senior leaders ultimately value: line management skills, accountability for results, and genuine whole‑school impact. When viewed too narrowly, these posts can feel like a leap forward; viewed later, they may look like a sideways detour. 

Voluntary roles and the hidden power of professional growth 

Voluntary roles carry even more tension. Mentoring trainees, for example, offers no additional pay and little formal recognition. Don’t be too quick to write them off, the professional development is profound. Being responsible for another adult’s growth forces you to articulate your practice, confront your blind spots, and model what you believe good teaching really is. For many teachers, mentoring reshapes their identity — from competent practitioner to reflective professional. It won’t guarantee promotion, but it can quietly raise the ceiling of your own practice. 

Governance roles similarly operate beyond the classroom. Serving as a governor whether in your own school or elsewhere offers insight into budgets, accountability, politics, and long‑term strategy. You see how decisions are made, why compromises happen, and how leadership thinks under pressure. For teachers curious about the bigger picture, it can be eye‑opening. It also demands time, emotional energy, and a tolerance for paperwork! Taken on lightly, it becomes draining; done well, it can reshape how you understand schools as institutions. 

Subject networks, national roles, and the Risk of overreach 

National subject networks and professional bodies occupy another interesting space. They rarely lead directly to promotion within your school, and headteachers may value them only insofar as they benefit results locally, but the professional renewal they bring by working with passionate specialists can be career‑defining. These roles remind teachers that schools can be insular places, and that professional identity doesn’t have to stop at your department door. The risk, again, is overcommitment. Even meaningful work becomes problematic if it competes with your core responsibilities. 

Perhaps the most powerful “sideways” opportunities come in the form of temporary leadership, particularly maternity covers or short‑term secondments. These occupy a unique middle ground. They may be temporary, but they offer genuine exposure to senior leadership realities—decision‑making, scrutiny, pace, and pressure. They are as close to a “try before you buy” model as teaching gets. Done well, they provide evidence that no interview answer can match. Done badly, they can be career‑limiting. Rare is the experience that doesn’t teach you something vital about yourself. 

So how should teachers decide? 

The key is intention. Roles that are not direct pathways to SLT are still worth taking, but for the right reasons. 

Ask yourself: 

  • Will this make me better at my core job? 
  • Will this broaden my understanding of education? 
  • Will this allow me to change practice and evidence making a difference? 
  • Will senior leadership genuinely value this work? 
  • Do I actually have the time to do it properly? 

If the answer is “yes” to at least some of these, the role may be invaluable, even if it never appears on an organisational chart. 

Teaching careers are rarely ladders. They’re more like networks of paths, some of which loop back, intersect, or dead‑end. Not every detour is a mistake. Some are where professional growth actually happens. The real risk isn’t taking the wrong role. It’s taking roles without being honest about why you’re taking them and what you’re expecting them to give you in return. 

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Would we do it again?

8 May 2026

As May edges closer to its final days, many teachers find themselves staring at the same date every year: 31 May. The deadline. The moment of truth. 

Are you handing your notice in?
Are you staying put — again — for another year? 

That question is what sparked a deeply personal conversation between Craig and Dave. What followed wasn’t a discussion about pedagogy, resources or the latest initiative. It was something rarer: an honest look back at a teaching career — the good, the bad, the naïve, the brilliant — and the uncomfortable question that sits underneath it all: 

If we could go back, would we still choose teaching? 

The answer, perhaps surprisingly, was yes. 

“If I could go back 30 years…” 

Dave began teaching in 1997. That’s nearly three decades at the chalkface — long enough to have seen initiatives come and go, exam reforms cycle endlessly, and staffrooms transform beyond recognition. 

So, if given the option to rewind the clock? 

“I’d absolutely do it again.” 

Craig’s answer mirrored that sentiment. Teaching, for all its frustrations, was clearly the profession he was meant for. He misses the classroom. He misses the connection, and like many teachers, he didn’t start there, industry came first. 

Should graduates go straight into teaching? 

Both Craig and Dave took a non-linear route into teaching, spending time in industry before stepping into the classroom. For computer science, and many subjects that experience proved invaluable. 

Industry meant real deadlines.
Real consequences.
Real stories. 

It meant being able to say to a class, “This isn’t just theory — this is how it actually works.” 

There’s no disrespect intended towards teachers who go straight from school, to university, to the classroom. Many are outstanding but lived experience grounds the curriculum in something authentic. It helps students see relevance, not just content. 

It also helps teachers themselves because here’s the uncomfortable truth many of us only discover once the door closes behind us and we face our first class alone: 

We don’t know the subject as well as we think we do. 

Imposter syndrome wears a lanyard 

Dave remembers his first lesson vividly: teaching stacks to a Year 12 class. It didn’t go as well as he expected. Students asked innocent, naïve questions, the kind that only learners ask, and those questions exposed gaps in his understanding almost instantly. Not because he wasn’t capable, but because he’d never been on the receiving end of that kind of scrutiny. 

It was imposter syndrome, dressed up as professionalism, and if you’re nodding along right now, you’re not alone. Almost every teacher has felt that moment of “I hope nobody realises I’m making this up as I go along.” Don’t despair, here’s the thing teaching quietly teaches us: 

You don’t need to know everything.
You need to know how to find out. 

Research backs this up. Teacher subject knowledge matters, but it’s nowhere near the top of what drives pupil attainment. Clear explanation. Relationships. Communication. Clarity. These matter more. 

Some of the most knowledgeable teachers struggle to teach. Others, with less encyclopaedic recall, thrive because they know how to translate complexity into understanding. 

Teaching isn’t about knowing everything.
It’s about learning relentlessly — and modelling how. 

Promotion, rejection, and learning the hard way 

Career progression in schools tends to split into two paths: pastoral or academic. Craig always knew which route he wanted and one of his defining moments came early, losing a Head of Department role to a colleague with less subject knowledge but vastly more life and leadership experience. At the time, it felt unjust. Years later, Craig saw the truth. Leadership isn’t about being the best at the subject. It’s about managing your team. Filtering pressure. Standing between people and the storm. That colleague taught him what no training course ever would — and shaped the leader Craig would eventually become. 

Failure, it turns out, was necessary. 

The tutor group moments that define a career 

Ask any teacher what they miss most if they leave, and chances are it won’t be the schemes of work. It’ll be the kids. 

Dave’s story about a Year 7 detention might seem minor, a homework diary unsigned, but it revealed everything about his values. Where a colleague saw rules and punishment, Dave saw fear, relationships, and trust being broken. That moment motivated him to step into pastoral leadership, not because he wanted power, but because he believed children don’t need to be punished for every mistake. School is a safe place to fail. 

Craig’s story, a quiet confession many tutors will recognise, echoes the same idea. Two chronically late boys. Endless detentions. Escalation towards exclusion. Instead of punishment, Craig made a compromise. Not an official one. Just a human one. 

They stopped being late.
It wasn’t a policy.
It wasn’t written down.
It worked. 

They respected him. They trusted him, and in return, they met him halfway. 

Was it perfect? No.
Was it the right approach? Debatable.
Was it teaching? Absolutely. 

So… would we do it again? 

Yes. 

Not because teaching is easy.
Not because it’s how it used to be.
Not because the system always works. 

But because when it works, when you reach the unreachable, protect the vulnerable, translate confusion into clarity, or quietly change a student’s trajectory, there’s nothing else quite like it. 

If you’re staring at 31 May wondering whether to stay or go, maybe the real question isn’t: 

“Am I tired?” 

But: 

“Do I still care?” 

And if the answer is yes, even a worn, bruised, complicated yes, then you already know what to do. 

Check out the At the chalk face’ podcast for more!

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How a GCSE in computer science can shape your students’ future careers

1 May 2026

Why teachers should highlight career opportunities in computer science

Computer Science isn’t just about writing code—it’s a gateway to high-demand careers in the UK and worldwide. Teachers play a crucial role in showing students how the skills they develop in GCSE Computer Science can open doors to degrees, apprenticeships, and exciting careers in technology. By linking classroom lessons to real-world pathways, you can increase student engagement, motivation, and aspiration.

 

Guiding students towards higher education pathways

A GCSE in Computer Science provides a foundation for a variety of further education routes. Teachers can help students see how their current learning applies to future studies:

  • Computer Science Degrees: Teach how programming, algorithms, and data structures at GCSE level prepare students for specialisations in AI, software engineering, or cyber security.
  • Electronic & Electrical Engineering: Highlight the connection between coding skills and hardware design, embedded systems, or smart device development.
  • Robotics & Mechatronics: Show how problem-solving, programming, and control systems translate into designing robots and automation solutions.
  • Games Development: Encourage students with creative interests to explore coding for interactive media, game engines, and programming languages like C++ or C#.

By making these links explicit, students understand that GCSE lessons are directly relevant to their ambitions.

 

Computer Science career pathway: Cheat sheet for teachers

How teachers can use this cheat sheet:

  1. Show real-world relevance: Connect lessons to a potential career pathway.
  2. Encourage portfolio development: Document mini-projects and coding experiments for applications.
  3. Highlight cross-curricular links: Link creative coding to art, design, and technology projects.
  4. Inspire ambition: Use examples of real students, graduates, or UK/global tech companies.
  5. Support differentiated learning: Tailor tasks to student interests—creative, technical, or entrepreneurial.

Download the above cheat sheet HERE.

Linking classroom skills to career paths

Computer Science skills are highly transferable. Teachers can demonstrate how coding, logical thinking, and problem-solving underpin real-world roles:

  • Video Game Industry: Programming and creative projects in lessons can lead to design, development, or concept art roles.
  • Virtual & Augmented Reality (VR/AR): Graphics, user interface design, and simulation exercises provide a base for immersive technology careers.
  • Robotics & Automation: Practical coding tasks and control system exercises mirror the challenges of creating intelligent machines.
  • Global Tech Companies: Highlight how skills in coding, AI, and data analytics can lead to opportunities at major UK and international tech firms.
  • Cyber Security: Classroom focus on logic, algorithms, and problem-solving supports future careers in ethical hacking, network protection, and digital forensics.
  • High-Tech Entrepreneurship: Encourage students to develop projects and portfolios that could evolve into tech start-ups or innovative solutions.

 

Strategies for making careers real in the classroom

  1. Showcase real-world examples: Share stories of graduates or professionals in gaming, robotics, or VR.
  2. Connect lessons to industry tools: Introduce platforms like GitHub, Unity, or microcontrollers to demonstrate professional practice.
  3. Encourage project portfolios: Guide students to document coding projects, mini-games, or automation experiments—they become evidence of skills and initiative.
  4. Invite guest speakers: Virtual or in-person talks from alumni or industry professionals can spark inspiration and aspiration.
  5. Link to further education and apprenticeships: Discuss university courses, vocational qualifications, and apprenticeships to give students tangible next steps.

 

Frequently asked questions for teachers

How can I make computer science lessons more career-relevant?
Integrate mini-projects, real-world examples, and discussions of emerging technologies to show the practical impact of coding skills.

What roles are most accessible with a GCSE background?
Foundation skills in programming, problem-solving, and logic can support progression into game design, cybersecurity, robotics, VR/AR, and software development.

How can I encourage students to explore beyond the curriculum?
Coding clubs including robotics or esports and hackathons help students apply knowledge creatively and see the relevance of their learning.

 

By connecting GCSE Computer Science lessons to real-world careers, teachers help students see the value and relevance of what they’re learning

From coding mini-games to experimenting with robotics or VR, the skills developed now lay the foundation for exciting, future-focused careers in technology.

 

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Back

How a GCSE in Computer Science can shape your future career

29 April 2026

Computer Science isn’t just about coding—it’s a stepping stone to some of the most exciting careers in the UK and worldwide. From video games and robotics to cyber security and VR, studying GCSE Computer Science equips you with the skills, logic, and problem-solving abilities that open doors to a wide variety of pathways.

This blog explores degrees, career options, and future opportunities for students who take computer science seriously.

 

What degrees can follow a GCSE in Computer Science?

A solid foundation in GCSE Computer Science prepares you for higher education, including:

  • Computer Science Degrees: Develop programming, algorithms, and data structures. Specialisations may include AI, Software Engineering, or Cyber Security.
  • Electronic Engineering: Explore circuits, embedded systems, and signal processing. Ideal for creating smart devices, self-driving cars, or space technologies.
  • Robotics and Mechatronics: Design and program robots, explore automation, and control systems. Perfect for students fascinated by AI-driven machines.
  • Games Development: Build artistic and coding skills to create interactive worlds. Learn languages like C++ or C# for professional-level projects.

Which careers can a Computer Science GCSE lead to?

A GCSE in Computer Science opens the door to a wide range of exciting career paths, from creative industries to cutting-edge technology. Here are some of the most popular and inspiring options:

  • Video Game Industry – Become a designer, programmer, or concept artist. The UK has a thriving gaming sector, and global studios are always looking for fresh talent. Your coding foundation allows you to create the next blockbuster title or contribute to innovative indie projects.
  • Virtual Reality (VR) & Augmented Reality (AR) – Work on immersive experiences for healthcare, education, or entertainment. Developing skills in graphics programming and UX design lets you build advanced simulators, interactive training programmes, and AR apps that blend digital and real-world experiences.
  • Robotics & Automation – Design intelligent machines, drones, or autonomous systems. From manufacturing robots to exploration drones, computer science skills enable you to build technology that solves real-world problems and even reaches into space.
  • Global Tech Companies – Roles in software development, AI research, and data analytics are in demand worldwide. A solid computer science background can open doors to opportunities at major tech hubs, including Silicon Valley and leading European companies.
  • Cyber Security – Specialise in ethical hacking, network protection, or digital forensics. With the rise of online threats and data breaches, computer science knowledge equips you to protect sensitive data in both public and private sectors.
  • High-Tech Entrepreneurship – Launch your own tech start-up or develop innovative products. Combining coding skills with problem-solving gives you the confidence to create businesses that stand out in today’s fast-moving tech landscape.

 

Why a GCSE in Computer Science matters

A GCSE in Computer Science isn’t just about writing code—it develops:

  • Analytical thinking for solving complex problems.
  • Logical reasoning for algorithms and coding logic.
  • Creativity for designing projects, games, or apps.
  • Transferable skills valued by employers and universities worldwide.

Whether you study in the UK or abroad, these skills form the foundation for careers in technology, innovation, and entrepreneurship.

 

Frequently asked questions about GCSE Computer Science

Does GCSE Computer Science help with university courses?
Yes. It provides a foundation in programming, algorithms, and computational thinking for degrees in Computer Science, Robotics, and Engineering.

Can I work in tech globally with a GCSE?
Absolutely. A strong foundation combined with further study or experience can open doors to global tech companies, including roles in Silicon Valley.

Which careers are most popular for computer science graduates?
Video games, VR/AR, robotics, cyber security, AI research, and tech start-ups are all highly relevant paths.

How do GCSE skills transfer to real-world jobs?
Problem-solving, logical thinking, coding, and project experience are in high demand across technology sectors worldwide.

By taking a GCSE in Computer Science seriously, you’re building skills that could shape the future of technology. From coding games and building robots to innovating in VR or launching your own start-up, the opportunities are vast. 

Your GCSE isn’t just a qualification—it’s the first step toward a dynamic, rewarding, and highly relevant career in the digital age.

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How Do Map Apps Work?

The Science Behind Your Smartest Routes

Unlocking the Magic Behind Your Favourite Navigation Apps

Ever wondered how your map app seems to know the quickest way to your destination almost instantly? You open it, punch in your address, and bam! It guides you faster than you can remember whether to take the first or second exit at that tricky roundabout. But what’s the clever tech that makes this possible?

Graph Theory: The Secret Map App Language

Behind the scenes, your phone is playing the world’s nerdiest game of Connect the Dots. Every intersection becomes a “dot,” and every road is a line linking these dots. Welcome to the fascinating world of graph theory — a fundamental concept in computer science that helps apps understand and navigate complex road networks.

Algorithms That Choose the Best Route (Not Just the Shortest)

Your map app uses smart algorithms like Dijkstra’s and A* (pronounced “A star”) to analyse possible paths and pick the fastest one. Because let’s face it, 5 miles on a motorway beats 3 miles crawling through a school zone with multiple zebra crossings and speedsters doing 15 in a 30!

How Your Phone Knows About Traffic Before You Do

Ever wondered how your app knows the traffic is backed up ahead? It’s simple—it’s secretly spying on you. Well, not just you, but every user of the app. Each phone sends anonymous speed and location data, creating a real-time map of traffic conditions. This collective data allows your app to spot jams, accidents, and even roadworks, giving you a heads-up before you’re stuck in a tailback.

Trust Your Map App—even When It Takes You on Weird Routes

All this data—from traffic flow to road closures—is processed to deliver one message: “This way, human. Trust me.” So, when your app reroutes you through six roundabouts and a narrow goat track, it’s not confused. It’s saving you from a worse alternative.

Ready to Dive Deeper Into the Tech Behind Your Map App?

Watch our full YouTube video to explore the incredible computer science powering your navigation tools. 

For more Lesson Hacker videos, check out the CraignDave YouTube playlist HERE.

Visit our website to explore more cutting-edge tech news in the computer science world!

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What is Chip Binning?

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What is Chip Binning?

Understanding the Silicon Sorting Hat of CPUs

Ever wondered why processors like Ryzen 9 cost more than Ryzen 5, even though they look pretty similar? The answer lies in a clever process called chip binning — essentially, the art of sorting silicon chips after production to separate the stars from the rest.

Baking Silicon Cookies: A Simple Analogy

Imagine you’re baking 1,000 cookies. They all look alike, but some come out golden and chewy, while others might be a bit burnt or crumbly. Chip binning is a bit like that — but instead of sugar and flour, it’s silicon and electrons being tested. 

When manufacturers slice a large silicon wafer into hundreds of tiny processors, not all chips are created equal. Some perform faster and use less power — these are the “golden” chips. Others work well, but only if you don’t push them too hard.

Why Do Chips Get “Binned”?

After production, each chip is rigorously tested. The best performers earn premium titles like “Ryzen 9” or “Core i9” — these are the five-star biscuits of the tech world. Chips that don’t quite make the cut get repackaged as “Ryzen 5,” “Core i5,” or even the more modest “Pentium.”

Importantly, the cores or speeds you see on your CPU label are genuine. You can’t unlock hidden performance by fiddling with the BIOS—those disabled parts are either broken or physically removed. It’s like buying a chair with missing legs and hoping it will magically grow back.

The Benefits of Chip Binning

Chip binning helps reduce waste and maximise profits, ensuring that processors meet different needs and budgets. Thanks to this process, consumers get a range of CPUs that balance performance and price.

So, the next time you pick up a “binned” chip, remember you’re essentially getting the best available chip in that batch — the teacher’s pet of the silicon classroom, complete with all A*s but no free biscuit.

Want to learn more about how your computer’s brain really works? Check out our Lesson Hacker YouTube video.

For more Lesson Hacker videos, check out the CraignDave YouTube playlist HERE.

Visit our website to explore more cutting-edge tech news in the computer science world!

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Meet Dodona: A powerful coding platform built for real classrooms

If you’re a computing teacher searching for a reliable, classroom-ready coding platform, then it’s time to take a closer look at Dodona.

In a recent interview, we sat down with the Dodona team to explore how their platform is helping teachers deliver engaging, effective programming lessons — without the usual headaches of setup, maintenance, or disappearing tools.

We’re also excited to see Dodona include our Time2Code pedagogy and problems to enhance the teaching and learning of programming. 

Time2Code and Dodona

Time2Code helps bring programming concepts to life through structured, interactive challenges that students can work through at their own pace, building confidence step by step. By integrating programmes of study like Time2Code, Dodona are helping teachers to manage the complexities of managing, delivering, assessing, troubleshooting and tracking progress. It’s a great example of how the partnership of pedagogy from Time2Code and the platform from Dodona complements each other to augment the teaching of a critical but often difficult aspect of the course.

Built by educators, for educators

One of the standout things about Dodona is its origin story. Unlike many platforms that come and go, Dodona was developed by university educators to solve real classroom challenges — particularly around giving students meaningful feedback at scale.

With features like automated assessment, visual debugging tools, and detailed learning analytics, it allows students to experiment, make mistakes, and improve — all while receiving instant, helpful feedback.

For teachers, this means less time spent troubleshooting code line-by-line, and more time focusing on teaching, supporting, and stretching students.

A platform that supports real learning

What really sets Dodona apart is its focus on feedback for both students and teachers. Rather than relying heavily on AI to generate answers, the platform is designed to support the learning process — not replace it.

Students are encouraged to think, test, and refine their work through a feedback-rich loop, helping them build genuine programming skills that will stand up in exams and beyond. For teachers there are unique reports that help spot students who may be copying each other!

It’s also fully browser-based, making it ideal for schools where installing software can be a challenge — a common issue across UK classrooms.

See Dodona at the Festival of Computing

We’re delighted that Dodona are an official sponsor of this year’s Festival of Computing 

They’ll be there on the day, so you can:

  • See the platform in action.
  • Ask questions directly to the team.
  • Explore how it could fit into your teaching.

Grab your tickets to this year’s Craig’n’Dave Festival of Computing now.

Watch the full interview on our YouTube channel ‘At the chalk face’ and learn more.

Want to dive deeper into what Dodona can do? Check their website.

Whether you’re looking to enhance your programming lessons or find a more sustainable coding platform, Dodona is well worth your time.

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Differentiation is dead

3 April 2026

For decades, teachers were told that differentiation was the golden ticket. If we could just tailor the right task to the right child, learning would blossom. So, we dutifully produced colour-coded worksheets. We tiered tasks with labels like all must, most should, some might. We grouped pupils by “ability” because that was supposed to help them learn at the right pace. 

But slowly, and then all at once, the profession began to realise something unsettling: traditional differentiation wasn’t working. Not for teachers, not for workload, and most importantly, not for students. 

By the early 2020s, major education bodies were openly questioning the practice. Inspectors in England found that differentiation often turned into, “the production of different tasks and resources that increased teachers’ workload with little impact on pupils’ learning,” and they linked it with lowered expectations for some pupils. Even government policy moved away from the term entirely, replacing it with “adaptive teaching” after concluding that differentiation, at least as commonly understood, too easily meant restricting access to challenging content. 

New ideas 

The story could have ended there. Another well-intentioned initiative quietly retired but something more interesting happened. 

A new idea emerged, one that didn’t involve dumbing down tasks or packaging children into fixed levels; and it came from an unexpected place: a global analysis of how the world’s highest-achieving learners actually learn. 

Professor Deborah Eyre’s work on High Performance Learning (HPL) landed like a challenge to everything schools thought they knew about ability. Her research showed that intelligence is “highly adaptable,” and that high performance can be taught, not simply observed. Instead of separating pupils by perceived potential, HPL argued that schools should adopt a “not yet” mindset, a belief that every student can develop the cognitive behaviours and attitudes associated with exceptional learners. 

This wasn’t theory in a vacuum. HPL had already been trialled across dozens of international schools, and the results were consistent: when you raise expectations for all students, more students rise than you ever predicted. Crucially, HPL required no separate lessons, no tiered tasks, no models, just a shared, demanding curriculum supported by strong scaffolding. 

While HPL was gaining traction, a parallel shift was happening in wider educational research. A major 2020 systematic review on differentiated literacy instruction concluded that differentiation does work, but only when it focuses on process and support, not on lowering the challenge for some students. The most effective programmes used scaffolding, individualisation, and student choice, while still expecting everyone to meet ambitious goals. 

Meanwhile, research into inclusive and equitable education covering more than a decade of studies found that high-quality teaching for diverse classrooms relies on maintaining common learning objectives and adapting the pathways, not the expectations. Targeted support, and thoughtful modification of process or environment mattered far more than simplified tasks. 

Taken together, these findings painted a clear picture: differentiation wasn’t wrong because it aimed to help students, it was wrong because it aimed too low. 

Aftermath of a pedagogical revolution 

If differentiation as we once knew it is dead, what has replaced it? 

A new model has emerged, one that feels at once more rigorous and more humane. 

Teachers now talk about high challenge for all, with scaffolding to ensure everyone can access that challenge. Instead of breaking learning into tiers, we design tasks worth doing and support students to succeed in them. Scaffolds are temporary, intentional, and removed as students gain mastery: sentence starters, worked examples, knowledge organisers, chunked instructions, peer rehearsal.  

Grouping is no longer fixed, but fluid, formed in response to the lesson, the moment, even the specific misconception that surfaces during questioning. The classroom becomes a living system, not a set of rigidly stratified tracks. 

Most importantly, expectations are the same for every child. Not because we ignore their differences, but because we finally understand that expectations are not where we differentiate, support is. 

Teachers now spend less time producing three sets of worksheets and more time thinking about the thinking

  • What do students need to understand this deeply? 
  • What will stretch them? 
  • What will help them get unstuck? 
  • How do I build metacognition, not just task completion? 

These questions are entirely aligned with Eyre’s findings that the characteristics of high performing learners: empathy, perseverance, flexible thinking, strategic awareness can be explicitly taught and developed.  

The shift has been profound. And liberating. So yes, differentiation is dead. At least the version we once knew. What replaces it is not a rejection of individual needs but a celebration of collective potential. It’s a model where we stop predicting who will struggle and who will excel based on previous performance and instead design teaching that pushes every student towards excellence with no bias or preconceived ideas. 

Perhaps, in this new paradigm, the most radical idea is also the simplest: 

Every student can achieve more than we once believed if we stop limiting their climb and start strengthening their ladder.

Check out the At the chalk face’ podcast for more!

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It’s not in the mark scheme

27 March 2026

When “not in the mark scheme” doesn’t mean wrong – what Quicksort teaches us about accepting valid alternatives 

A question that surfaces every revision season is this:
“If a student’s answer isn’t in the mark scheme, can they still get credit?” 

Happily, the answer is yes. 

Mark schemes guide examiners toward expected answers, but they’re not exhaustive. A response that demonstrates the required understanding, even if expressed differently, should still earn marks, and examiners are trained to recognise valid alternatives. 

Few topics illustrate this better than the story of the Quicksort, and the many ways students might correctly perform it. 

Remembering Tony Hoare, creator of Quicksort 

It felt fitting to reflect on this, following the sad news that Professor Sir Charles Hoare (“Tony Hoare”) passed away peacefully on 5 March 2026 at the age of 92. Hoare is widely regarded as one of the greatest thinkers in the history of computing. His most famous contribution was the Quicksort, the algorithm that has sparked more A level debates and classroom disputes than possibly almost any other. 

The origin story is wonderfully humble. In 1959, while studying machine translation at Moscow State University, Hoare needed a fast way to sort Russian words. Bubble sort wasn’t going to cut it. So, armed with paper and pencil, he devised Quicksort. Ironically, he couldn’t actually implement it, the language he was using, Mercury Autocode, was too limited. 

When he returned to England and joined Elliott Brothers in 1960, one of his first tasks was to write a Shellsort. After completing it, he casually mentioned to his boss that he knew a faster method. His boss responded with a sixpence bet – one Hoare won when Quicksort outperformed all expectations. 

So why don’t students’ Quicksorts match the mark scheme? 

Quicksort isn’t a single algorithm. It’s a family of algorithms. Researchers and engineers have created hundreds of variants, each valid, each useful, each “Quicksort.” 

This naturally leads to classroom friction: 

  • “That’s not how we learned it in Maths!” 
  • “But my teacher said the pivot never moves!” 
  • “This example is nothing like the mark scheme…” 

The truth is: students aren’t wrong. Teachers aren’t wrong, and neither is the mark scheme! They’re often just using different, but valid variants. That’s exactly why rigidly expecting a single form of Quicksort can result in unfairly penalising correct answers. 

What teachers should really look for with algorithms 

Don’t advise students to memorise code blocks. Instead of matching specific code, teachers and students should look for the essential components that all Quicksort variants share: 

  1. A pivot selection strategy

Common approaches include: 

  • First element 
  • Last element 
  • Middle element 
  • Random pivot 
  • Medianof3 
  • Medianof5 
  • Tukey’s ninther 
  • Adaptive schemes (e.g., introselect) 
  1. A partitioning scheme

Popular methods include: 

  • Hoare partition – efficient, uses two indices 
  • Lomuto partition – conceptually simple, uses one index 
  • Bentley–McIlroy 3way – excellent for data with many duplicates 
  • Dualpivot – used in Java’s standard sort 
  1. A recursive divide-and-conquer structure

Often supported by implementation choices such as: 

  • Tailrecursion elimination 
  • Cutoffs to insertion sort 
  • Memory layout optimisations 
  • Parallel variants 
  • Introsort hybrids 
  • Cacheoblivious versions 
  1. A base case

The recursion stops when a sub list contains 0 or 1 elements. 

  1. Combination of the results

When all partitions are sorted, the fully sorted list is formed. 

 

Where the confusion really comes from 

Most disagreement stems from the popularity of two different partitioning approaches: Hoare or Lomuto, and the fact that many teachers were taught one or the other. 

To complicate things further a visualisation called the “Hungarian dancers” (thanks to a viral YouTube video) uses the first element as the pivot but allows it to move during partitioning meaning it’s not a pure Hoare partition, it’s a variant that is inefficient but can make it easier to visualise what the pivot is doing. 

So, when a student’s working doesn’t match what’s in the mark scheme or what you’ve seen before, remember: it may still be a perfectly valid algorithm. 

Want clear, classroom-friendly examples? 

To support teachers CPD, we’ve included full walkthroughs of the Hoare, Lomuto, and the Hungarian variant with code in Python, C#, and Visual Basic in our book:
👉 https://www.amazon.co.uk/dp/B09NRBS8ND 

Oh, and that documented meeting between Tony Hoare and Nico Lomuto we included? That’s just fiction! …but Tony did win the sixpence from his boss! 

Check out the ‘At the chalk face’ podcast for more!

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Festival Of Computing OCR Fringe Event 2026

A sneak peek at the afternoon line-up

24 March 2026

The Festival of Computing 2026, co-founded and hosted by Bromsgrove School with AQA as headline sponsor, is the UK’s ultimate secondary computing education event. 

Happening on Wednesday 1 July 2026, at Bromsgrove School the festival is packed with hands-on CPD sessions, inspiring keynotes, networking opportunities, and a vibrant marketplace — everything you need to sharpen your computer science teaching skills and stay ahead in computing education.

Tickets are now available! 

OCR Fringe Event

The Fringe Event will take place in the marquee at 15:45, the perfect way to round off a day of inspiration. Tea, coffee, and biscuits will be available as you enjoy a packed line-up of short, inspiring talks from some of the brightest minds in computing education. This year, the Fringe Event section of the Festival of Computing is sponsored by Cambridge OCR.

Fringe Speakers

  • 15:50 – Becci Peters (CAS/BCS) – Free AI CPD
  • 15:56 – Matthias De Witte & Peter Dawyndt (Dodona Learning Technologies) Dodona: your online co-teacher for programming classes
  • 16:02 – Paul McKnight (VEX Robotics) – Competitive Robotics – Bringing Sport to STEM
  • 16:08 – Pete Dring (Fulford School) SEND in Computing: Quick wins for lessons, clubs & competitions
  • 16:14 – Harry Wake & Anna Wake (Mission Encodeable) Free Python coding tutorials to help students become confident, engaged, and exam-ready
  • 16:20 – Kat Morgan (Mindjoy) – Talking to your AI changes the Learning Paradigm
  • 16:26 – Becky Patel (Tech She Can) – Inspiring the next generation into technology careers
  • 16:32 – Alan Harrison (Harrison Proserv Ltd.) – One problem, six solutions – stretch the more able programmers with SIX HACK!
  • 16:38 – Gary McNab (The CODE Show) – Celebrating how 1980’s Britain entered the computing age

Don’t miss this fast-paced, insightful afternoon packed with tips, inspiration, and practical takeaways to enhance your teaching and spark your students’ creativity.

We can’t wait to see you there.

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VEX Robotics is inspiring the next generation of Computer Scientists

VEX Robotics – Bringing computing to life

18 March 2026

If you’ve ever wondered how to make computing more engaging for your students, you need to know about VEX Robotics

Their mission is simple: make engineering, computing, and STEM learning accessible, fun, and hands-on. Whether it’s building and programming a robot for an extracurricular club or preparing a team for a competitive challenge, VEX supports teachers every step of the way with guides, CPD resources, and online tools, all enabling us, the teachers, to bring coding to life. 

VEX has rapidly become a global leader in educational robotics. Originally focused on building parts for competitive robotics teams, VEX has expanded to provide hardware, software, and teaching resources for learners from early years right through to A-level, and all of us at Craig’n’Dave love them! 

From classroom robotics to competition

For teachers who feel intimidated by the word “competition,” VEX makes it easy to start small. Their classroom robots are designed to be plug-and-play, letting students explore programming concepts, sensors, and AI without worrying about complicated setups or fragile equipment. You can start with block-based coding, and when ready, move on to Python, making robotics accessible for all levels.

Even their competitive programs, like VEX IQ (Key Stage 2–3) and VEX V5 (KS3–5), emphasise collaboration over rivalry. Students are randomly paired with other teams, requiring them to work together, mentor each other, and strategise as a team. The result? Students not only apply computing and design skills but also gain soft skills like communication, problem-solving, and teamwork—the very skills employers and educators value most.

In the latest episode of At the Chalkface, Craig and Dave sit down with Chris from VEX Robotics to explore all things robotics in computer science and why it really matters.

Want to know more about VEX Robotics? Check out their website HERE 

 

VEX Robotics is at the Festival of Computing 2026

We’re thrilled to announce VEX Robotics as a Main Sponsor of this year’s Craig’n’Dave Festival of Computing, the UK’s biggest secondary computing festival. 

At the festival, you can:

  • Explore the VEX stand and see what they have to offer
  • Attend their CPD session, “AI Vision in Robotics – World Cup Fever Edition”
  • Discover how to introduce robotics in your classroom or after-school club.

VEX is also sponsoring the fantastic pre-event curry supper held at Bromsgrove School.

A special ticketed social the night before the festival. It’s a great way to enjoy a fun evening of networking, conversation, and inspiration. Spaces are limited, so grab your ticket while you can. 

Curry night tickets available HERE.

Why you should attend

The Craig’n’Dave Festival of Computing 2026 is all about inspiration, innovation, and collaboration

Whether you’re looking to refresh your computing lessons, spark excitement with hands-on projects, or explore cross-curricular links this is the event for you. 

With engaging CPD sessions and keynote talks, a Marketplace packed with leaders in computing education—including VEX Robotics—and plenty of opportunities to connect with fellow educators, it’s an experience no teacher will want to miss.

Get your festival tickets now.

Reserve your curry night ticket while spaces last.

 

Want to know more about the Festival of Computing? Check out all the details about the day HERE

Want to check out the full interview with Chris from VEX Robotics on our At the Chalkface YouTube channel and hear all about how VEX is shaping computing education?

Watch the video HERE.

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A GCSE in Computer Science opens the door to careers in gaming, robotics, cyber security, and beyond.
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Back

Why do we make chips out of silicon?

5 March 2026

The science behind the chips that power your tech

You use it every day—your phone, your laptop, even your smart fridge—but have you ever stopped to think about why everything runs on silicon?

It turns out the answer is surprisingly simple: silicon is cheap. But as we all know, cheap doesn’t always mean good. In this case, though, it’s a bit of both.

Silicon: Common as muck, clever as anything

Silicon makes up more than a quarter of the Earth’s crust. So yes, you’ve probably walked over the next-generation processor material on your way to the shops. But being common isn’t enough. Pigeons are common, and no one’s building supercomputers out of those.

What makes silicon so special is that it’s a semiconductor. It’s not fully conductive like metal, and not fully resistive like rubber. It sits perfectly in the middle—just right. And when we use a clever bit of science called doping, we can control how it behaves electrically. That’s a game-changer when you’re trying to squeeze billions of transistors onto a chip the size of a fingernail (without setting it on fire).

Could we use anything else?

Sure—materials like germanium, gallium arsenide, or silicon carbide offer some exciting benefits. Faster speeds, better heat resistance, sassier conductivity. But they also come with major drawbacks: they’re expensive, fragile, or hard to produce in large quantities. Basically, they’re the tech equivalent of ordering a gold-plated pizza.

The Margherita of microchips

Silicon wins because it’s the perfect blend of availability, reliability, and cost-efficiency. It might not be flashy, but it gets the job done—and keeps your devices ticking without breaking the bank.

That’s why silicon is in everything from smartphones to voice assistants. And no, we’re not going to run out any time soon. We’ll probably lose our patience with system updates long before we run out of sand.

Want to know more? Check out our Lesson Hacker YouTube video 

For more Lesson Hacker videos, check out the CraignDave YouTube playlist HERE.

Visit our website to explore more cutting-edge tech news in the computer science world!

 

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How do you make a transistor?

5 March 2026

The magic behind the microchip

Have you ever wondered how a transistor—the fundamental building block of modern electronics—is actually made? It might surprise you to learn that these tiny powerhouses are crafted using light, acid, and an astonishing level of precision.

From sand to silicon wafer

It all begins with a simple disc of silicon—a fancy term for a purified bit of sand. This disc, known as a wafer, is then cleaned thoroughly. This wafer is the blank canvas on which billions of transistors will be created.

The art of photolithography: Tattooing logic gates

Next comes photolithography—a process that sounds complex, and it is! Imagine shining light through a patterned mask onto a photosensitive chemical layer on the wafer, much like developing a photograph. This process ‘hardens’ specific areas, creating a stencil for the next step. The unexposed parts are then etched away using acid—a process that’s as dramatic as it sounds!

Doping silicon: Turning sand into a semiconductor

What happens after etching? We ‘dope’ the silicon, which means introducing tiny impurities like boron or phosphorus. While they sound like magical potions, these elements transform ordinary silicon into a semiconductor—a material that can switch electricity on and off incredibly fast and at microscopic scales. 

Building layers upon layers

This process is repeated over and over, layering microscopic wiring and circuits until a fully functional integrated circuit emerges. These chips contain billions of transistors, each smaller than a virus particle, all working together to power your devices.

The full circle of transistor creation

Here’s the kicker: transistors are so tiny and complex that we actually need transistors—and computers—to build more transistors. The machines have quite literally unionised!

Want to know more? Check out our Lesson Hacker YouTube video 

For more Lesson Hacker videos, check out the CraignDave YouTube playlist HERE.

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Back

What Are Transistors?

5 March 2026

Tiny Switches Powering Our Digital World

When you think about your phone, laptop, or even your electric toothbrush, you might not realise what makes them work. At the heart of it all is something so small we’re talking atomic scale and you’d need an electron microscope to see it – it’s the transistor. But what is a transistor? 

A transistor is an electric switch. It’s no ordinary switch; it’s capable of controlling electrical currents with incredible precision.

From Bulky Vacuum Tubes to Tiny Transistors

Before transistors revolutionised technology, computers relied on vacuum tubes—think of them as fragile glass bulbs that switched electricity on and off. These tubes were bulky, power-hungry, and prone to overheating, which meant early computers like ENIAC were enormous and unpredictable. A sneeze near one could cause a crash!

In 1947, the transistor arrived and changed everything. Imagine upgrading from a coal-powered steam engine to a sleek Tesla overnight. Transistors are tiny, fast, energy-efficient, and tough. They don’t need to warm up, don’t burn out easily, and certainly don’t require a dedicated cooling room.

How Do Transistors Work?

Think of a transistor as a tap for electricity—you can turn the current on or off. Imagine billions of these taps packed onto a chip no bigger than your fingernail. Connect them correctly, and you have a microprocessor capable of running complex apps, games, and even artificial intelligence. It’s the microprocessor that powers everything from TikTok to your computer’s homework apps (and yes, even that frustrating moment when you forget to save).

Why Transistors Matter: Logic Gates and CPUs

Transistors build logic gates—tiny electronic “bouncers” that decide whether electricity can pass through based on simple rules. An AND gate only says “yes” if both inputs agree, while a NOT gate acts like the sarcastic mate who always says the opposite. Combine enough of these gates, and you get a CPU, the brain of every computer.

Every app, every game, and every AI-powered tool is the result of trillions of these on/off decisions happening every second—a dazzling electric light show that’s the foundation of modern life.

Final Thoughts

So, next time you hear someone say “we’re living in the future,” remember to thank the tiny transistor. This small but mighty invention replaced room-sized vacuum tubes with microchips.

Want to know more? Check out our Lesson Hacker YouTube video 

For more Lesson Hacker videos, check out the CraignDave YouTube playlist HERE.

Visit our website to explore more cutting-edge tech-transforming news in the computer science world!

 

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Discover how this subject can lead to exciting degrees and future opportunities in the tech world.

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How does MP3 compression work?

Why your music still sounds good (even when it’s squished)

5 March 2026

The science behind streaming-ready sound

Ever wondered how your favourite playlist fits into your phone’s storage without eating up all the space? Or how Spotify streams tunes using less data than sending a single cat meme? The answer lies in MP3 compression—a clever bit of computer science that reduces file sizes while keeping your music sounding crisp.

Here’s how it works

At its core, music is a waveform—a wiggly line that represents vibrating air. Storing that wiggly line in full detail would take up a ridiculous amount of space, which isn’t ideal for phones or streaming services. That’s where the MP3 algorithm steps in.

First, it transforms the waveform using something called a Fourier Transform. Think of it as turning your song into a shopping list of sound frequencies, showing how loud each note is.

Then comes the brutal bit: data gets thrown away. Why? Because human hearing isn’t perfect. We can’t hear super high frequencies, quiet sounds get masked by louder ones, and tiny differences often go unnoticed. MP3 takes advantage of this, binning the parts you wouldn’t notice anyway. It’s a bit like describing a painting using fewer colours—you lose some detail, but the overall vibe remains.

MP3 compression also rounds off numbers. For example, if a note measures 0.762983 loud, it might round that to 0.76. Your ears won’t know the difference, but your storage space will thank you.

So no, MP3 files don’t work like ZIP files looking for repeating patterns. They’re smarter than that—they selectively get rid of the bits your brain skips over, keeping what matters.

Want to know more? Check out our Lesson Hacker YouTube video 

For more Lesson Hacker videos, check out the CraignDave YouTube playlist HERE.

Visit our website to explore more cutting-edge tech-transforming news in the computer science world!

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When AI plays the music: The Velvet Sundown hoax that fooled the internet

5 March 2026

What happens when an AI band goes viral?

Imagine stumbling across a dreamy indie band on Spotify with 850,000 monthly listeners. They’ve got a verified profile, ethereal lyrics, and moody cover art — everything you’d expect from the next big thing in alternative music. Except… they’re not real.

Welcome to the curious case of The Velvet Sundown — an AI-generated band that tricked listeners, baffled journalists, and highlighted some big questions at the intersection of technology, music, and copyright law.

The fake band with real fans

On the surface, The Velvet Sundown seemed like a typical four-piece: Gabe, Lennie, Milo, and Rio. But internet sleuths noticed something odd — no live gigs, no social media, no interviews. Even the “press photo” looked suspiciously AI-generated.

Eventually, a supposed spokesperson admitted the entire band (and he himself) were fakes — creations built around music generated using an AI tool called Suno. Think ChatGPT for sound: you describe a vibe, it creates a song. Vocals, lyrics, melody — all fully synthetic.

Streaming algorithms, blurred realities

What’s worrying is how The Velvet Sundown thrived on Spotify’s algorithm, gaining thousands of listens through curated playlists and auto-play suggestions. Spotify hasn’t taken them down, and CEO Daniel Ek has confirmed there’s no intention to ban AI-generated music — unless it impersonates a real artist. But when even tech-savvy users can’t tell the difference, where’s the line?

Meanwhile, real musicians are furious. Artists like Elton John and Dua Lipa have pushed for stronger copyright protections in the UK, arguing that AI music models often rely on scraped human-made content. But government action? Still “under consultation”.

Does it matter who makes the music?

If you’re listening to lo-fi study beats or ambient playlists, do you care if the artist has a pulse? As AI becomes more convincing, it’s a real question — especially for young people growing up in a digital world where authenticity is often optional.

As Professor Gina Neff from Cambridge points out, we’re living in an age where deepfakes, AI influencers, and virtual personas make it increasingly hard to separate the real from the artificial. Music is just one part of that bigger picture.

Want the full story and a few laughs along the way?  Watch the full video to explore AI in music and more fascinating computer science concepts.


For more Lesson Hacker videos, check out the Craig’n’Dave YouTube playlist HERE.

Be sure to visit our website for more insights into the world of technology and the best teaching resources for computer science and business studies.

Stay informed, stay curious!

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By connecting classroom learning to real-world pathways, teachers can inspire students to see the true value and future potential of their skills.

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A GCSE in Computer Science opens the door to careers in gaming, robotics, cyber security, and beyond.
Discover how this subject can lead to exciting degrees and future opportunities in the tech world.

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Discover how your map app uses graph theory and clever algorithms to find the fastest route, even before you spot the traffic jam. It’s the smart tech behind every turn and reroute you trust.

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